Course Content

Learning Statistics with Python

1. Basic Concepts

Sample vs Population Types of Statistics Types of Data Mean Value Median Value Median Value of the Even Number of Values Mean or Median Mode Value Descriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the Dataset Calculating Mean and Median Values with Python Statistics with pandas Calculate the Mean and Median Salary

3. Variance and Standard Deviation

Population Variance Sample Variance Calculate Variance with Python Standard Deviation Standard Deviation with Python Calculating Variance and Standard Deviation

4. Covariance vs Correlation

Covariance Correlation Covariance and Correlation Quiz Calculate Covariance and Correlation

5. Confidence Interval

Explore the Data Set Confidence Interval Calculating Confidence Interval with Python Confidence Interval Width Quiz Calculate 95% Confidence Interval Advanced Confidence Interval Calculation with Python Match the Functions

6. Statistical Testing

What is t-test Hypotheses t-test Mathematically One-Tailed And Two-Tailed Test t-test Assumptions Performing a t-test in Python Conduct a t-test Paired t-test

Covariance and Correlation Quiz

1. What does a positive covariance indicate about the relationship between two variables?

2. How is the correlation coefficient different from covariance?

3. If two variables have a correlation coefficient of 0.85, what can be inferred about their relationship?

What does a positive covariance indicate about the relationship between two variables?

Select the correct answer

The variables move in opposite directions.

There is no linear relationship between the variables.

The variables move in the same direction.

The relationship between the variables is undefined.

How is the correlation coefficient different from covariance?

Select the correct answer

Correlation is not standardized, while covariance is.

Correlation values are always between -1 and 1, while covariance can take any value.

Covariance is a better measure than correlation.

Correlation can only be used for sample data, while covariance works for population data.

If two variables have a correlation coefficient of 0.85, what can be inferred about their relationship?

Select the correct answer

They have a weak negative relationship.

There is no relationship between them.

They have a strong positive relationship.

They have a strong negative relationship.

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 3

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Course Content

Learning Statistics with Python

1. Basic Concepts

Sample vs Population Types of Statistics Types of Data Mean Value Median Value Median Value of the Even Number of Values Mean or Median Mode Value Descriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the Dataset Calculating Mean and Median Values with Python Statistics with pandas Calculate the Mean and Median Salary

3. Variance and Standard Deviation

Population Variance Sample Variance Calculate Variance with Python Standard Deviation Standard Deviation with Python Calculating Variance and Standard Deviation

4. Covariance vs Correlation

Covariance Correlation Covariance and Correlation Quiz Calculate Covariance and Correlation

5. Confidence Interval

6. Statistical Testing

What is t-test Hypotheses t-test Mathematically One-Tailed And Two-Tailed Test t-test Assumptions Performing a t-test in Python Conduct a t-test Paired t-test

Covariance and Correlation Quiz

1. What does a positive covariance indicate about the relationship between two variables?

2. How is the correlation coefficient different from covariance?

3. If two variables have a correlation coefficient of 0.85, what can be inferred about their relationship?

What does a positive covariance indicate about the relationship between two variables?

Select the correct answer

The variables move in opposite directions.

There is no linear relationship between the variables.

The variables move in the same direction.

The relationship between the variables is undefined.

How is the correlation coefficient different from covariance?

Select the correct answer

Correlation is not standardized, while covariance is.

Correlation values are always between -1 and 1, while covariance can take any value.

Covariance is a better measure than correlation.

Correlation can only be used for sample data, while covariance works for population data.

If two variables have a correlation coefficient of 0.85, what can be inferred about their relationship?

Select the correct answer

They have a weak negative relationship.

There is no relationship between them.

They have a strong positive relationship.

They have a strong negative relationship.

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 3